US 12,190,201 B2
Quantum resource estimation using a re-parameterization method
Guglielmo Mazzola, Zurich (CH); Stefan Woerner, Zurich (CH); Rajiv Krishnakumar, Geneva (CH); William Joseph Zeng, New York, NY (US); Nikitas Stamatopoulos, New York, NY (US); and Shouvanik Chakrabarti, Hyattsville, MD (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US); and Goldman Sachs & Co. LLC, New York, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US); and Goldman Sachs & Co. LLC, New York, NY (US)
Filed on Dec. 3, 2020, as Appl. No. 17/110,900.
Prior Publication US 2022/0188679 A1, Jun. 16, 2022
Int. Cl. G06N 10/00 (2022.01); G06F 17/18 (2006.01); G06N 7/08 (2006.01)
CPC G06N 10/00 (2019.01) [G06F 17/18 (2013.01); G06N 7/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a processor that executes computer executable components stored in memory, the computer executable components comprising:
a re-parameterization component that applies a quantum fault-tolerant operation to a variationally prepared quantum state corresponding to a probability distribution to produce a quantum state corresponding to a target probability distribution, wherein the applying the quantum fault-tolerant operation comprises:
applying a first defined number of Gaussian operators to a second defined number of qubits, wherein the second defined number is a multiple of the first defined number by a third defined number corresponding to a length of a qubit register, and
performing affine transformations to adjust respective centers and respective volatilities of Gaussians resulting from the applying; and
an estimation component that estimates at least one defined criterion of a quantum computer to be used to compute an expectation value of a stochastic process associated with the target probability distribution.